IS WORK OVER?

Automation index

How much of a Growth manager’s job can AI already do?

An A/B test and a funnel report come earlier. Picking this week’s bet and fighting for budget do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Growth manager

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Analytics, funnels and growth dashboards.
Estimate

No public source provides a precise figure. This is our estimate.

22%52%+11.4
Copy, creatives and test variants.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Design experiments and read causality.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Align product, marketing and sales.
Estimate

No public source provides a precise figure. This is our estimate.

16%15%+2.4
Ads budget and internal negotiation.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
Decide what dies and what scales.
Estimate

No public source provides a precise figure. This is our estimate.

14%16%+2.2
Total100%31%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Analytics, funnels and growth dashboards
  • Copy, creatives and test variants
  • Design experiments and read causality
  • Align product, marketing and sales
  • Ads budget and internal negotiation
  • Decide what dies and what scales
  • growth manager
  • growth hacker
  • responsable de growth

Sources for this job· O*NET 13-1161.00· ESCO/ISCO 2431

Logistics analyst

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Costs, OTIF and the dashboard.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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